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Transforming Speech Translation: An End-to-End Transformer-LAS-CTC System for Chinese Dialects to Minor Languages

Transforming Speech Translation: An End-to-End Transformer-L...

引用

Symposium of Image, Signal Processing, and Artificial Vision (STSIVA)

作者： Jing Wang Wenhao Fang College of Intelligent Manufacturing City College of Huizhou Huizhou China Department of Computer Science and Technology Hohai University Nanjing China

ISBN: (数字)9798350363203

ISBN: (纸本)9798350363210

Speech translation involves converting spoken language from one language to text in another. However, traditional speech translation systems use a cascaded structure that has several shortcomings and defects. As global trade and economic development continue to grow, there is an increasing demand for speech translation tasks from Chinese dialects to minor languages. To tackle these issues, this paper proposes an end-to-end transformer- Las-ctcspeech translation system for converting Chinese dialects to minor language text. Traditional systems have limitations, and with globalization, there is an increasing demand for speech translation. The proposed system combines the attention mechanism with a joint LAS-CTC decoder and outperforms traditional models in convergence speed and results. It has the potential to become a useful tool for bridging language barriers and facilitating communication.

关键词： Translation Biological system modeling Computational modeling Globalization Transformers Encoding Decoding informatics Long short term memory Convergence

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Complex Question Decomposition Method: Based on Fine-grained Named Entity Recognition and Domain Knowledge

Complex Question Decomposition Method: Based on Fine-grained...

引用

Symposium of Image, Signal Processing, and Artificial Vision (STSIVA)

作者： Chunhui He Zhen Tan Bin Ge Chong Zhang Zonglin Shi National University of Defense Technology Changsha China 93501 Army Beijing China

ISBN: (数字)9781728170862

ISBN: (纸本)9781728170879

With the development of the intelligent question answering technology, and the decomposition of complex problems has gradually become a key technology for question answering systems. Aiming at the existing complex problem decomposition methods that cannot meet the design requirements of question answering systems in the field of weaponry. In this article, we proposed a complex question decomposition method based on fine-grained named entity recognition (FG-NER) and domain knowledge. By introducing the BERT-based Bi-LSTM- CRF model, it effectively solves the identification problem of weapon types, names and corresponding attributes in the complex question sentences with weaponry domain. Experimental results demonstrate that the model has an average Fi score of 91.54% on the test dataset. It can efficiently complete complex question decomposition tasks in the field of aircraft weaponry, and it can precisely to finish the questions-answers matching problem by combining the weaponry domain knowledge base.

关键词： Weapons conferences Atmospheric modeling Knowledge based systems Knowledge discovery Task analysis informatics

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Hyperspectral Image Denoising Based on Non- convex Low-rank Regularization in Tensor Transform Domain

Hyperspectral Image Denoising Based on Non- convex Low-rank ...

引用

Symposium of Image, Signal Processing, and Artificial Vision (STSIVA)

作者： Binbin Xu Hongyi Liu School of Science Nanjing University of Science and Technology Nanjing China

ISBN: (数字)9781728170862

ISBN: (纸本)9781728170879

Hyperspectral image includes rich spectral and spatial information with strong correlations, which makes it granted that hyperspectral image is modeled as a low-rank third- order tensor. In terms of the low-rank representation of tensor, non-convex low-rank approximation is regarded as an effective method. In this paper, based on the tensor singular value decomposition in transformed domain, a non-convex low-rank representation of tensor is proposed. Firstly, the unitary transformation is carried out along each mode of the tensor, thus the corresponding transformed tensor nuclear norm is developed. Then, the newly defined tensor nuclear norm is relaxed by a non- convex Gamma function, which leads to a non-convex low-rank regularized hyperspectral denoising model. The alternating direction multiplier method (ADMM) is employed to solve the model. Compared with the existing methods, the proposed model can effectively remove Gaussian and impulse noises, and achieves better performance on spatial structure preservation and spectral fidelity.

关键词： Tensors Noise reduction Transforms Visual effects informatics Hyperspectral imaging Singular value decomposition

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SUAS: Scalable user authentication scheme for secure accessing to cloud-based environments

SUAS: Scalable user authentication scheme for secure accessi...

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international conference on Computer Applications and Industrial Electronics (ICCAIE)

作者： Faraz Fatemi Moghaddam Rama Roshan Ravan Touraj Khodadadi Yashar Javadianasl Abbasali Halalzadeh Faculty of Computer Science and IT U.P.M. University Selangor Malaysia Advanced Informatics School Universiti Teknologi Malaysia Kuala Lumpur Malaysia Malaysia-Japan International Institute of Technology (MJIIT) Universiti Teknologi Malaysia Kuala Lumpur Malaysia

Cloud computing is an emerging technology that uses the concepts of virtualization, storage, and sharing to store and share resources between users and enterprises. This newfound technology is still unclear to many security problems and one of the most challenging issues in these environments is the reliability of the user authentication process. Therefore, this paper offers an efficient and scalable user authentication scheme for cloud-based environments. The proposed model uses the concepts of agents, cryptography, and key exchanging to enhance and improve the performance of the user authentication and the rate of scalability in cloud-based environments respectively. For achieving to this purpose, the proposed model has been presented based on three main agents: first user authentication agent, second user authentication agent and key manager agent. These agents have divided the process of user authentication and managing keys into several parts to improve the rate of efficiency in this process. Furthermore, the suggested model tries to resist against possible attacks. SUAS, as the suggested model was introduced and simulated in this paper for evaluating the performance and security of the scheme. In overall, the results show that the proposed model has considerable advantages for using in cloud-based environment to increase the salacity, reliability and efficiency of cloud computing models as an emerging technology.

关键词： Authentication Cloud computing Encryption Computational modeling Servers

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The Impact of Application Mapping on Non-Random and Random Network Topologies

The Impact of Application Mapping on Non-Random and Random N...

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ieee international conference on Big Data and Cloud computing (BdCloud)

作者： Yao Hu Michihiro Koibuchi National Institute of Informatics 2-1-2 Hitotsubashi Chiyoda-ku Tokyo Japan

ISBN: (数字)9781728143286

ISBN: (纸本)9781728143293

Due to recent artificial intelligence (AI) technology progress, more and more applications present all-to-all, irregular or unpredictable communication patterns among compute nodes in high-performance computing (HPC) systems. Traditional communication infrastructures, e.g., torus or fat-tree interconnection networks, may not handle well their matchmaking problems with these newly emerging applications. For these typical non-random network topologies, there are already many communication-efficient application mapping algorithms. However, for the above unpredictable communication patterns, it is difficult to efficiently map their applications onto the non-random network topologies. In this case, a simple optimization is to map their applications with small diameter or average shortest path length (ASPL) among the assigned compute nodes. In this context, we recommend to use random network topologies as the communication infrastructures, which have drawn increasing attention for the use of HPC interconnects. In this study, we make a comparative study to analyze the performance impact of application mapping on non-random and random network topologies. We list several application mapping policies, and compare their job scheduling performances assuming that the communication patterns are unpredictable to the computing system. Evaluations with a large compound application workload show that, when compared to non-random topologies, random topologies can reduce the average turnaround time up to 39.3% by a random connected mapping method and up to 72.1% by a diameter/ASPL-based mapping method.

关键词： Network topology Topology Supercomputers Mesh networks Multiprocessor interconnection Processor scheduling Scheduling

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A UAV Edge computing Task Offloading Method Based on Reinforcement Learning and the Underwater Lobster Optimization Algorithm

A UAV Edge Computing Task Offloading Method Based on Reinfor...

引用

Symposium of Image, Signal Processing, and Artificial Vision (STSIVA)

作者： Keqin Jiang Mingyan Jiang Dongfeng Yuan Ze Zhao School of Information Science and Engineering Shandong University Qingdao China Qilu Institute of Technology Jinan China

ISBN: (数字)9798350363203

ISBN: (纸本)9798350363210

With the rapid development of UAV edge computing, the randomness of task generation and the unpredictability of UAV mobility have made related problems increasingly complex. This not only poses a highly intricate integer optimization problem but also requires swift and effective decision-making based on real-time monitoring. Traditional offline algorithms face numerous challenges in addressing such issues and often struggle to meet the demands of dynamic environments. In response, this paper proposes an innovative heuristic algorithm-the V nderwater Lobster Optimization Algorithm-combined with reinforcement learning techniques to dynamically learn the optimal data transmission path. Through this approach, we can flexibly adjust the optimization algorithm's update strategy, effectively achieving dynamic management goals and improving the system's overall performance and response speed. The proposed algorithm successfully addresses the task offloading problem in UAV edge computing. Experimental results show that the algorithm significantly reduces system response time and improves task completion rates, fully demonstrating its potential and advantages in the field of AV edge computing.

关键词： Heuristic algorithms Reinforcement learning Autonomous aerial vehicles Dynamic scheduling Real-time systems Data communication Time factors Optimization Edge computing Drones

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Speech Emotion Recognition Cross Language Families:Mandarin vs. Westen Languages

Speech Emotion Recognition Cross Language Families:Mandarin ...

引用

2016 ieee international conference on progress in informatics and computing

作者： Zhongzhe Xiao Di Wu Xiaojun Zhang Zhi Tao IEEE College of Physics Optoelectronics and EnergySoochow University

An investigation on classification of emotional speech cross different language families is proposed in this paper. Datasets on three languages, CDESD in Mandarin, Emo-DB in German, and DES in Danish are analyzed. With 2-D classifications on arousal-appraisal space, better recognition performances are observed in arousal dimension than in appraisal dimension. The classification rates in cross language family test between CDESD and Emo-DB or DES are far higher than chance level, shows that there exist universal mechanisms in human voice emotion independent on languages. Results in test within the same language family between Emo-DB and DES are even better than in cross language family test with CDESD in Mandarin, shows the language and culture also influence the way of expression in speech. The best classification rate in the cross language family test is achieved on male speech samples as 71.62%, when CDESD dataset is used as training set and Emo-DB as testing set.

关键词： emotional speech cross-language Mandarin recognition

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Smart informatics for Emerging Applications

Smart Informatics for Emerging Applications

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2016 ieee international conference on progress in informatics and computing

作者： Hasan M Jamil University of Idaho

Complex systems such as social dynamics and interactions, ecosystems and their management, public policies, living systems modeling, behavioral development and learning, and science require rich collection of diverse data and sophisticated analytics to respond to user queries. The distributive nature of data, associated uncertainties and the special purpose tool needed to interpret them add a layer of barrier that is difficult to cross. Recent efforts to craft new applications have met with the challenges related to volume of gathered data and the speed with which they can be accessed and analyzed. The complex nature of the data, are demanding novel ways of visualizing, and interpreting and summarizing generated massive results. Recent trend in data management using NoSQL, key word search and NLP underscore the need to push boundaries of human computer interaction technologies to allow even the most na?ve users the capacity to interact with the computer systems to access information in their preferred ways. The quest for developing smart, self-managing and ubiquitous systems for the emerging applications are leveraging cutting edge research such as autonomous data integration, entity recognition, graph analysis and graph matching, data mining, context understanding, crowd computing, autonomous analytics orchestration, workflow composition, and query intent recognition. Research is intense toward developing intelligent user interfaces that assemble such building blocks in interchangeable plug and play fashion to serve as a conduit for information gathering. In this talk, we will examine several novel applications of education, life sciences, ecology and geology to understand their technology needs. We will discuss the challenges they face and identify cutting edge research that can be leveraged by these systems. We will discuss several systems that are currently at the prototype stage and highlight their salient features. In particular, we will present the outline of

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Smart adaptation of beacons transmission rate and power for enhanced vehicular awareness in VANETs

Smart adaptation of beacons transmission rate and power for ...

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international conference on Intelligent Transportation

作者： Sofiane Zemouri Soufiene Djahel John Murphy University College Dublin School of Computer Science and Informatics Ireland University College Dublin Lero School of Computer Science and Informatics Ireland

In this work, we are interested in periodic beacons transmission, the main cause of the Control Channel (CCH) congestion and the major obstacle delaying the progress of safety messages dissemination in VANETs. In order to offload the network, solutions that range from transmit rate to transmit power adaptations including hybrid solutions have been proposed. Although some of these solutions have managed to successfully reduce the load on the wireless channel, none, to the best of our knowledge, have considered the impact of the applied adaptation scheme on the overall level of awareness among vehicles and its quality. ETSI TS released a technical specification stating a limit for the minimum beacons transmit rate in order to maintain a good level of awareness among vehicles and ensure a certain accuracy in VANET applications. In this paper, we propose to jointly adapt both transmit rate and power in a new smart way that guarantees a strict beaconing frequency as well as a good level of awareness in closer ranges, while maintaining a marginal beacons collision rate and a good level of channel utilisation. First, the transmit rate is adapted to meet the channel requirements in terms of collision rate and channel load; then, once the minimum beacon transmit rate, set by ETSI, has been reached, transmit power is adapted in a way that guarantees a good level of awareness for closer neighbours. The simulation results show a significant enhancement in terms of the quality as well as the level of awareness.

关键词： Vehicles Safety Roads Educational institutions Telecommunication standards Vehicular ad hoc networks

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ModConTR: A modular and configurable trust and reputation-based system for secure routing in ad-hoc networks

ModConTR: A modular and configurable trust and reputation-ba...

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ACS/ieee international conference on Computer Systems and Applications

作者： George Hatzivasilis Ioannis Papaefstathiou Charalampos Manifavas Dept. of Electronic and Computer Engineering Technical University of Crete Chania Crete Greece Dept. of Informatics Engineering Technological Educational Institute of Crete Heraklion Crete Greece

Distributed wireless networks have become popular due to the evolution of the Internet-of-Things. These networks utilize ad-hoc routing protocols to interconnecting all nodes. Each peer forwards data for other nodes on the basis of network connectivity and a set of conventions that is determined by the routing protocol. Still, these protocols fail to protect legitimate nodes against several types of selfish and malicious activity. Thus, trust and reputation schemes are integrated with pure routing protocols to provide secure routing functionality. In this paper we propose ModConTR - a modular and adaptable trust and reputation-based system for secure routing. The system is composed of 11 different components which can be configured at runtime to adjust to each application's security and performance requirements. Presented work includes three possible configurations of ModConTR, considering ultra-lightweight, low-cost and lightweight implementations. Moreover, predefined configurations permit the implementation of the reasoning process for well-known secure routing protocols. Thus, we present a security and performance analysis for each of the components, including a comparative analysis of 10 complete trust and reputation schemes under identical attack scenarios. ModConTR is implemented using the NS2 simulator and is integrated with the DSR routing protocol.

关键词： Routing Security Routing protocols Ad hoc networks Fading Wireless sensor networks Peer-to-peer computing

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